Mobil application for automatic document summarization systems

Today, with the rapid development of internet and technology, the amount of information in the internet environment is increasing exponentially. Although increasing the number of texts with information is beneficial in terms of diversity, it also brings with problems such as missed research information and inability to access information quickly. To solve this problem, the computer-aided automatic systems that summarize the subject and topic in documents quickly can be useful. However, when looking at the literature, studies on automatic summarization are generally theoretically aimed at increasing summary success. Except a few web applications, the number of applications running as summaries is extremely low. In this study, an easy-to-use mobile application for automatic document summarization methods was developed. The summary of a document can be quickly and easily obtained at the desired time and place thanks to application, thus user needs can be met. In addition, summarizing same document in different forms according to needs is provided with 4 different methods of summarization left to the user's preference. As a result of the experiments on Turkish dataset, the application algorithms achieved a good Rouge-1 score of 0.59 on average. In addition, the application can extract the system summary in an acceptable time, such as an average of 18 seconds.